Vector Similarity Computation with Partially Homomorphic Encryption

Show HN: DeepFace now supports DB-backed vector search for face recognition

Vector Similarity Computation with Partially Homomorphic Encryption is active in the show hn launch space.

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DeepFace previously relied on filesystem-based datasets and pickle caches for face search, which made it stateful and hard to expose via APIs.We introduced register and search functions that store embeddings in a backend DB (Postgres, Mongo, Weaviate, Neo4j).This makes face recognition stateless, horizontally scalable, and suitable for API use.For Postgres and Mongo, FAISS is used for ANN search; Weaviate and Neo4j handle vector indexing natively.Additional databases and vector stores can be added over time.

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Website: sefiks.com/2026/01/01/introducing-brand-new-face-recognition-in-deepface